26 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at UNIVERSITY OF HELSINKI
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-immunology-program-trimm YOUR QUALIFICATIONS We are looking for ambitious researchers with a PhD, a solid publication record, and strong background in some of the following experimental/computational areas
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) Established Researcher (R3) Country Finland Application Deadline 15 Nov 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded
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achievements (half page) and research vision for postdoctoral period (half page) A complete CV, including PhD thesis title, date of defence and link to the online version of the thesis (if exists), previous and
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: Motivation letter (max 1 page), summarising your current research experience and achievements (half page) and research vision for postdoctoral period (half page) A complete CV, including PhD thesis title, date
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decade, providing opportunities to mine big data to learn more about the drivers of AMR in humans. Our work includes computational analysis of antibiotic resistance and microbiomes, statistical analysis
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data has increased massively in the last decade, providing opportunities to mine big data to learn more about the drivers of AMR in humans. Our work includes computational analysis of antibiotic
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to the editing of the resulting volume. Teach or co-teach (up to 10% of annual workload). Contribute actively to the project and the host institution’s research community. Eligibility and assessment Applicants
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The Fagerholm and Harjunpää groups at the Molecular and Integrative Bioscience (MIBS) Research programme, Faculty of Bio- and Environmental Sciences, University of Helsinki are inviting applications
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resolve these questions, due to their proven ability to show plasticity in many traits. About you You have a PhD degree. You have experience with bioinformatic analysis, behavioral and/or experimental
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advanced computational approaches to map the diversity, dynamics, and tissue distribution of viruses in the human body. We investigate how these viral communities influence disease susceptibility and